Computer-Based SOTIF Validation (DE0291)
Simulate your System with Bayesian Networks
ISO 21448 - Safety of the Intended Functionality (SOTIF) requires measurable acceptance criteria but does not tell us how to validate those.
This training is fully focused on practical answers how to …
- quantify performance limitations and risks
- identify hidden performance insufficiencies
- minimize uncertainty
- find unknown scenarios & rare hazardous events
- determine probabilities & occurrence rates of hazardous events
- model complex, multi-dimensional dependencies & conditional probabilities
Even brute-force simulation similar to computer games is not a solution, as it does not quantify uncertainties and statistical dependencies based on a solid mathematical foundation.
We provide you with a modern computer-based validation method of SOTIF acceptance criteria which scales to today´s real automotive systems and allows to simulate the complete system with parameters reflecting real-world scenarios.
Why Attend?
- Learn how to model uncertainty
- Overcome the limits to traditional risk assessment approaches
- Use new technology like Bayesian Networks for highly complex systems in real-world scenarios
- quantify performance limitations and risks
Who should attend?
- Product Owners, Function Owners, Domain Experts for AD Systems
- System & SW Engineers
- Experts for Functional Safety and SOTIF
Applicable for Autonomous Driving as well as for other areas that require quantitative risk analysis.
Agenda and Content
- Motivation
- Millions of km for Driving-Tests?
- Limits of classic risk analysis & common cause
- Modern Methods – Basics & Theory
- Essential Statistical Concepts – Quick Refresher
- Model Statistical System Dependencies
- Bayesian Networks
- Practical Application
- Modeling a real SOTIF application
- Simulation, System Optimization and Tuning
Accompanied by a practical example and hands-on exercises with Python & Jupyter
Prerequisites:
- Technical Background (Bachelor/Master level)
- Basic Programming Experience (Python or similar)
Recommended: Exercises can be performed on your own laptop (quick setup guidelines for Python are provided)
Takeaway:
After this training, you´ll be able to model and simulate SOTIF systems in real-world scenarios, to optimize and validate your system based on proven mathematical methods.
Duration: 2 days
